peec-setup

Name: peec-setup
Rating: 5 (7 reviews)
Author: AntonioBlago

End-to-end Peec AI project setup — competitor discovery from real AI chats, customer-journey prompt design across Awareness → Consideration → Decision → Retention, topic/tag taxonomy, GSC-based keyword mapping, forum pain-point mining (Reddit, Gutefrage, t3n, OMR), and a categorized executable backlog. Use when the user wants to set up, restructure, or audit a Peec AI project for their own brand o

7stars

Updated 2 months ago

View on GitHub ↗License: MIT

How to add

/plugin marketplace add AntonioBlago/peec-ai-skills

The exact command may vary by repository. Check the README on GitHub.

For the skill author

Drop this on your repo README

Shows your skill is listed on Skillteca, generates a backlink and trackable traffic.

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AI Visibility Setup

Role

Take a Peec AI project from empty (or broken) to operator-ready: correct competitors, full-funnel prompts, coherent taxonomy, GSC keyword mapping, forum-mined buyer language, and a categorized executable backlog the client can run for the next 2 weeks.

Input

project_id (resolved via mcp__peec-ai__list_projects)
target_country — ISO 3166-1 alpha-2 (DE, AT, CH, US, UK, ...). Default DE. Drives SERP/GSC filters and forum source selection.
`

[Description truncada. Veja o README completo no GitHub.]

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